Kernel Bisecting k-means clustering for SVM training sample reduction.
Xiao-Zhang LiuGuo-Can FengPublished in: ICPR (2008)
Keyphrases
- training samples
- decision function
- bisecting k means
- feature space
- support vector
- support vectors
- hyperplane
- kernel function
- document clustering
- k means
- training set
- decision boundary
- clustering algorithm
- training data
- test sample
- high dimensional
- training examples
- clustering method
- supervised learning
- learning algorithm
- data points
- support vector machine svm
- svm classifier
- unsupervised learning
- support vector machine
- input space
- feature selection
- multi class
- hierarchical clustering
- feature vectors
- data clustering
- data sets
- cluster analysis
- base classifiers
- subspace clustering
- text mining
- sample set
- knn
- high dimensional data
- face images
- ls svm
- principal component analysis
- clustering quality
- nearest neighbor
- similarity measure